Senior Solutions Architect, AI and HPC Infrastructure

What you'll do

• Partner with customers, ISVs, and account teams on architecture reviews, proofs of concept, benchmarks, demonstrations, and production deployment guidance.
• Advise on accelerated infrastructure design and optimization, including GPU clusters, networking, storage, orchestration, monitoring, and edge deployments.
• Develop reusable reference architectures and technical materials, and collaborate with customers, partners, and internal teams.

What they ask for

• Degree in Computer Science, Electrical/Computer Engineering, Physics, another Engineering field, or related field (or equivalent experience).
• In-depth knowledge of AI cluster orchestration, scheduling, automation, CI/CD pipelines, and data center networking.
• Familiarity with infrastructure needs for distributed training, inference, model deployment, storage performance, and cluster reliability.
• Working knowledge of one or more energy sectors and their operational and IT environments.

Nice to have

• Experience architecting AI factories, large GPU clusters, multi-node training, or production inference platforms.
• Experience with LLM workflows, cluster benchmarks, OpenMPI, NCCL, distributed training frameworks, Docker/Containers, or Kubernetes.

Pay

184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)

Tools

InfiniBand, Ethernet, RDMA, MLPerf, HPL, OpenMPI, NCCL, Kubernetes

AI focus

Supports energy-sector adoption of infrastructure for AI training, fine-tuning, inference, retrieval, and agentic AI; preferred experience includes LLM training, fine-tuning, RAG, and inference workflows.